Senior Software Engineer - Query Engines & Storage

Location: Tokyo, Japan; hybrid with 3 days per week in the hirify.global office

Company

hirify.global develops an agentic experience platform that uses AI to help marketing and data teams acquire, retain, and grow customers.

What you will do

• Design and develop Hadoop, Hive, and Trino query-engine solutions and modern data architectures.
• Establish engineering standards for advanced data access frameworks and distributed systems.
• Define product roadmaps, coordinate feature delivery with Product and Support, and mentor new team members.
• Own version and release management, including baseline evaluation, patch backporting, and customer-facing deployments.
• Partner with SRE to automate cluster lifecycle management, load balancing, observability, capacity planning, and failure recovery.
• Provide expert customer support and on-call troubleshooting while contributing bug fixes, features, documentation, UDFs, and specialized tooling to Hadoop, Hive, and Trino.

Requirements

• 5+ years of experience building and operating distributed systems.
• Strong Java skills and deep knowledge of algorithms, data structures, and distributed-systems fundamentals.
• Solid understanding of public-cloud architecture and services, including AWS, GCP, or Microsoft Azure.
• Experience developing scalable data solutions for multi-tenant environments.
• Experience creating use cases, functional specifications, and design specifications.
• Experience with distributed Big Data stores or NoSQL systems such as HDFS, S3, Cassandra, or Bigtable, plus strong analytical and communication skills.

Nice to have

• Experience with Hadoop, Hive, or Trino, including production query engines at petabyte scale.
• Microservices architecture, data integration patterns, and open-source software extensions.
• Infrastructure as Code, SRE practices, advanced observability, and UDF development.
• Security and privacy by design, data visualization ecosystems, and storage optimization for massively parallel processing.

Culture & Benefits

• Work in a data-driven, customer-focused environment that values initiative, honesty, reliability, openness, and humility.
• Collaborate with Big Data experts across Japan, Korea, and Canada.
• Contribute to open-source projects and help maintain high service quality.
• Inclusive culture focused on diversity, belonging, growth, ownership, and innovation.